Bridging the Gap Between Physical Numerical Simulations and Machine Learning: Introducing The Well
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13
Ruben Ohana
rubenohana
AI & ML interests
AI for scientific data
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authored
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1 day ago
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models
authored
a paper
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MoMo: Momentum Models for Adaptive Learning Rates
authored
a paper
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Adversarial Robustness by Design through Analog Computing and Synthetic
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rubenohana's activity
authored
7
papers
1 day ago
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models
Paper
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2310.03024
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Published
MoMo: Momentum Models for Adaptive Learning Rates
Paper
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2305.07583
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Published
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
Paper
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2101.02115
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Published
Photonic Differential Privacy with Direct Feedback Alignment
Paper
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2106.03645
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Published
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
Paper
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2107.11814
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Published
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients
Paper
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2108.04217
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Published
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Paper
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2412.00568
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Published
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13
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polymathic-ai/MHD_64
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36
polymathic-ai/acoustic_scattering_inclusions
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40
polymathic-ai/acoustic_scattering_maze
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2
polymathic-ai/helmholtz_staircase
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21
polymathic-ai/acoustic_scattering_discontinuous
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2
polymathic-ai/post_neutron_star_merger
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2
polymathic-ai/supernova_explosion_64
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2
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Space
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commented
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authored
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over 1 year ago